Neural network analysis for gamma gamma -> 3pi at Daphne

Physics – High Energy Physics – High Energy Physics - Phenomenology

Scientific paper

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11 pages, latex, 2 figures.

Scientific paper

10.1016/S0370-2693(97)00124-X

We consider the possibility of using neural networks in experimental data analysis in Daphne. We analyze the process $\gamma\gamma\to \pi^+ \pi^- \pi^0$ and its backgrounds using neural networks and we compare their performances with traditional methods of applying cuts on several kinematical variables. We find that the neural networks are more efficient and can be of great help for processes with small number of produced events.

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